Virtual Service Delivery in Mental Health and Substance Use Care: A Systematic Review of Preference Elicitation Studies

精神健康和药物滥用护理中的虚拟服务提供:偏好获取研究的系统评价

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Abstract

Mental health and substance use disorders affect the lives of many people worldwide. Prevention and treatment of these conditions is important for optimal health and wellbeing, yet service access barriers are common. Virtual models of care may help to reduce barriers to receiving care. However, to facilitate uptake and use of virtual services, they need to appeal to patients and clinicians. This systematic review aimed to synthesise preference elicitation studies to determine what features of virtual mental health and substance use care are preferred by service users and service providers. Following the PRISMA guidelines for systematic reviews, we searched PubMed, PsycINFO, EconLit, MEDLINE, CINAHL, Academic Search Ultimate, and ProQuest Central for all available studies from database inception until May 2023. The Mixed Methods Appraisal Tool was used to assess the methodological quality of included studies. Nineteen studies met the eligibility criteria. However, none examined preferences for elements of different models of virtual care. Across the included studies, we identified 41 unique features that mapped to four themes of mental health and substance use care ('service', 'treatment', 'clinician' and 'additional supports'). Participant preferences were for individual, in-person, effective, flexible, and low-cost treatment. These preferences varied based on demographic factors, such as culture, gender, and participant type (e.g., patients, clinicians, general population). A user-centred approach should be adopted when designing and implementing mental health and substance use services. While preferences for features of mental health and substance use services more broadly are known, preferences for different models of virtual care remain unexplored. Future research should examine what features of virtual services would lead to optimal uptake and use across different users and stakeholders.

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